Akebia Therapeutics, Inc (AKBA) Fair Value & Analysis
Healthcare · US · Market cap $274M
Fair value as of: Jun 24, 2026
Analysis
Akebia Therapeutics, Inc (AKBA) currently trades at $1.10, while our model-based Fair Value estimate is $1.23 — implying the stock looks roughly 11.8% undervalued today. We read business quality at 95/100 (high quality), in the Healthcare sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: medium) — always confirm before acting.
About the company
Akebia Therapeutics, Inc., a biopharmaceutical company, focuses on the development and commercialization of therapeutics for patients with kidney diseases. Its product portfolio includes Vafseo (vadadustat), an oral hypoxia-inducible factor prolyl hydroxylase, for the treatment of anemia due to chronic kidney disease (CKD) in dialysis-dependent (DD) and non-dialysis dependent (NDD) patients; and Auryxia, a ferric citrate that is used to control the serum phosphorus levels in adult patients with DD-CKD and the treatment of iron deficiency anemia in adult patients with NDD-CKD. The company is also developing AKB-9090, which is in Phase 2 clinical trial for treating cardiac surgery-related acute kidney injury and acute respiratory distress syndrome; and AKB-10108 for the treatment of retinopathy of prematurity in neonates. The company has license and collaboration agreements with Tanabe Pharma Corporation for the development and commercialization of Vafseo in Japan and other Asian coun…
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How we calculate Fair Value
Each company is valued through a stack of independent intrinsic-value models (DCF variants, residual-income, multiples and more), blended into one family-balanced consensus and weighted by how much trustworthy data backs it. A separate quality layer scores the fundamentals. Every input is real reported data — nothing guessed.
Educational research only · not financial advice · no buy/sell recommendation. Model-based estimates are not certainties; their reliability depends on data quality and assumptions.